Machine learning based intelligent parts catalog
AssigneeDell Products L. P.
InventorsSathish Kumar Bikumala, Deepak NagarajeGowda
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AssigneeDell Products L. P.
InventorsSathish Kumar Bikumala, Deepak NagarajeGowda
Estimating the term…
As an example, a server may host an intelligent parts catalog that uses multiple machine learning models to identify a similarity between each part and one or more other parts in the intelligent parts catalog based on attributes of each of the parts in the intelligent parts catalog. For example, the attributes may include size, form factor, electrical characteristics, power consumption, price, regulations complied with, reliability, taxonomy, and the like. If a particular part becomes unavailable (e.g., due to weather, labor strike, or manufacturing issues), the intelligent parts catalog may provide a similarity score with each similar part that quantifies how similar each similar part is to the particular part. In this way, the same bill of materials can be used to identify parts to create a first product for a quality-conscious market, a second product for a price-sensitive market, and a third product to comply with local regulations.
A computer-implemented method comprising:
A server comprising:
One or more non-transitory computer readable media to store instructions executable by the one or more processors to perform operations comprising:
Dependencies are inferred from the claim text.